View conditional_dist.ipynb
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
View normal_approximation
""" | |
Created on Tue Mar 13 19:17:39 2018 | |
@author: aidanrocke | |
""" | |
import tensorflow as tf | |
import numpy as np | |
View accumulated_gradients.ipynb
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
View google_translate_challenge.py
from googletrans import Translator | |
from itertools import product | |
from pandas import DataFrame, read_csv | |
import numpy as np | |
import string | |
import time | |
import os | |
# Get google translator object | |
translator = Translator() |
View fixed_accumulated_gradients.ipynb
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
View computing_gradients.tf
#!/usr/bin/env python3 | |
# -*- coding: utf-8 -*- | |
""" | |
Created on Thu Nov 29 13:06:26 2018 | |
@author: aidanrockea | |
""" | |
import numpy as np | |
import tensorflow as tf | |
import tensorflow_probability as tfp |
View local_convex_test.jl
using LinearAlgebra | |
using Random | |
function local_convex_test(N) | |
#srand(1234) | |
sum = 0.0 |
View circuit_complexity.jl
using LinearAlgebra | |
using Random | |
function circuit_complexity(N) | |
radii = zeros(1,N); | |
for i=1:N | |
View crazy_paths.jl
using Random | |
function crazy_paths(N,delta_t) | |
ddx, dx = 10*(2*rand(N+1) .-1.0), 10*(2*rand(N+1) .-1.0) | |
ddy, dy = 10*(2*rand(N+1) .-1.0), 10*(2*rand(N+1) .-1.0) | |
x, y = 10*(2*rand(N+1) .-1.0), 10*(2*rand(N+1) .-1.0) |
View monotone_approx.jl
using Distributions | |
using Statistics | |
function monotone_approx(N::Int64,n_trials::Int64,n::Int64) | |
""" | |
inputs: | |
N: the range of U([-N,N]) | |
n_trials: the number of times we generate random vectors | |
n: the 'dimension' of the random vector |
OlderNewer